Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "18" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 55 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 53 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459870 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.578005 | 23.080792 | 0.791401 | 0.915113 | 5.028532 | 8.531230 | 31.178508 | 54.809688 | 0.6836 | 0.4597 | 0.4379 | nan | nan |
| 2459869 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459868 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.478493 | 21.433128 | 1.789509 | 1.432369 | 3.035352 | 7.019081 | 32.552572 | 49.891176 | 0.6785 | 0.4536 | 0.4456 | nan | nan |
| 2459867 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.371005 | 14.688202 | 0.988351 | 0.883166 | 0.924374 | 5.363576 | 14.130820 | 29.660138 | 0.6980 | 0.4590 | 0.4588 | nan | nan |
| 2459866 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 1.669912 | 20.876933 | 1.059419 | 1.427129 | 1.005072 | 11.882907 | 10.197905 | 22.162460 | 0.6954 | 0.4634 | 0.4461 | nan | nan |
| 2459865 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | -0.056444 | 15.959453 | 1.422859 | 1.946354 | -0.706229 | 6.486690 | 0.695315 | 21.231068 | 0.7277 | 0.5165 | 0.4205 | nan | nan |
| 2459864 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 4.243763 | 19.672245 | -0.718630 | -0.465174 | 1.139414 | 4.761214 | 37.606100 | 53.290892 | 0.6923 | 0.4540 | 0.4625 | nan | nan |
| 2459863 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.984326 | 11.998026 | -0.023818 | -0.200945 | -0.122999 | 2.620561 | 7.460164 | 22.029105 | 0.6918 | 0.4570 | 0.4555 | nan | nan |
| 2459862 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459861 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 0.914741 | 10.069289 | -0.021302 | 0.162439 | 0.699264 | 0.149411 | 10.657612 | 16.314763 | 0.7030 | 0.4609 | 0.4642 | nan | nan |
| 2459860 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.101965 | 11.439433 | -1.003580 | -0.334512 | 2.845860 | 7.274006 | 9.510489 | 19.095380 | 0.6906 | 0.4533 | 0.4551 | nan | nan |
| 2459859 | RF_maintenance | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.389804 | 11.215568 | -0.076575 | 0.154726 | 0.603376 | 0.515980 | 10.692081 | 22.387269 | 0.6952 | 0.4565 | 0.4540 | nan | nan |
| 2459858 | RF_maintenance | 100.00% | 0.00% | 22.02% | 0.00% | 100.00% | 0.00% | 4.321906 | 10.948475 | -0.070751 | 0.094799 | 0.805586 | 2.623595 | 15.259946 | 31.051255 | 0.7117 | 0.4585 | 0.4709 | 2.314353 | 1.576559 |
| 2459857 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 2.492056 | 9.467933 | -3.430190 | -0.026411 | 61.342570 | 29.438809 | 147.405426 | 14.567720 | 0.0277 | 0.0292 | 0.0006 | nan | nan |
| 2459856 | RF_maintenance | 100.00% | 0.00% | 33.71% | 0.00% | 100.00% | 0.00% | 12.869317 | 28.045663 | -0.797628 | 0.185471 | 2.445449 | 13.218331 | 23.104804 | 51.942130 | 0.6974 | 0.4536 | 0.4574 | 2.654823 | 1.623325 |
| 2459855 | RF_maintenance | 100.00% | 0.00% | 39.85% | 0.00% | 100.00% | 0.00% | 8.868832 | 22.764021 | -1.192611 | -0.231958 | 0.610645 | 5.074558 | 12.297952 | 22.680657 | 0.6830 | 0.4798 | 0.4848 | 2.540158 | 1.633600 |
| 2459854 | RF_maintenance | 100.00% | 0.00% | 25.07% | 0.00% | 100.00% | 0.00% | 18.321301 | 25.308311 | -0.074951 | 0.408461 | 1.571384 | 6.575292 | 19.776085 | 37.337049 | 0.6980 | 0.5213 | 0.4759 | 2.288947 | 1.535270 |
| 2459853 | RF_maintenance | 100.00% | 0.00% | 30.86% | 0.00% | 100.00% | 0.00% | 6.719894 | 14.956536 | 0.052819 | 0.502812 | 1.330838 | 6.282299 | 19.512962 | 33.692883 | 0.7263 | 0.4569 | 0.4817 | 2.630783 | 1.662490 |
| 2459852 | RF_maintenance | 100.00% | 0.00% | 0.54% | 0.00% | 100.00% | 0.00% | 9.831353 | 27.761009 | 0.351709 | 1.040571 | 6.676137 | 13.569214 | 3.294425 | 6.368744 | 0.8272 | 0.6917 | 0.3271 | 3.665553 | 2.019447 |
| 2459851 | RF_maintenance | 100.00% | 0.00% | 18.26% | 0.00% | 100.00% | 0.00% | 12.719930 | 16.712612 | 0.451648 | 0.746529 | 4.664361 | 15.997594 | 19.855457 | 33.952059 | 0.7346 | 0.5359 | 0.4027 | 2.705104 | 1.656345 |
| 2459850 | RF_maintenance | 100.00% | 0.00% | 28.04% | 0.00% | 100.00% | 0.00% | 10.361661 | 15.911168 | 0.172573 | 0.353681 | 2.196939 | 7.023161 | 24.833086 | 54.994483 | 0.7150 | 0.5539 | 0.3847 | 2.509181 | 1.645717 |
| 2459849 | RF_maintenance | 100.00% | 0.00% | 34.52% | 0.00% | 100.00% | 0.00% | 15.425204 | 21.408308 | 0.449450 | 1.469773 | 15.831294 | 13.209777 | 72.062356 | 66.434886 | 0.6982 | 0.5183 | 0.4021 | 3.011358 | 1.783013 |
| 2459848 | RF_maintenance | 100.00% | 0.00% | 27.32% | 0.00% | 100.00% | 0.00% | 18.366203 | 23.737385 | -0.432655 | 1.540243 | 5.323227 | 13.908879 | 22.518693 | 43.756747 | 0.6855 | 0.5422 | 0.4062 | 2.622171 | 1.676451 |
| 2459847 | RF_maintenance | 100.00% | 0.00% | 35.45% | 0.00% | 100.00% | 0.00% | 7.028938 | 13.336821 | -0.628163 | 1.223427 | 0.415979 | 6.772338 | 5.896121 | 10.489391 | 0.6937 | 0.4569 | 0.4698 | 2.737389 | 1.671378 |
| 2459846 | RF_maintenance | 100.00% | 0.00% | 65.81% | 0.00% | 100.00% | 0.00% | 2.998846 | 9.426321 | -0.172019 | 0.031654 | 1.067242 | 2.967116 | 7.464999 | 27.627576 | 0.8317 | 0.5043 | 0.5361 | 2.880477 | 1.953996 |
| 2459845 | RF_maintenance | 100.00% | 0.00% | 13.82% | 0.00% | 100.00% | 0.00% | 23.374829 | 33.565416 | 0.764767 | 2.079115 | 19.094028 | 22.021563 | 55.416035 | 59.550873 | 0.7014 | 0.5357 | 0.4095 | 4.640177 | 2.682911 |
| 2459844 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 6.050841 | 23.824174 | 18.078668 | 48.431849 | 119.480757 | 35.111629 | 221.214154 | 24.406184 | 0.0288 | 0.0306 | 0.0011 | nan | nan |
| 2459843 | RF_maintenance | 100.00% | 0.66% | 14.85% | 0.00% | 100.00% | 0.00% | 20.388488 | 28.232469 | -0.393530 | 0.565737 | 11.633242 | 20.859352 | 67.387261 | 43.296523 | 0.7061 | 0.5332 | 0.4289 | 3.307784 | 1.898641 |
| 2459842 | RF_maintenance | 100.00% | 0.00% | 83.87% | 0.00% | 100.00% | 0.00% | 9.231627 | 11.506753 | -0.337983 | 0.106107 | 8.040933 | 3.431094 | 38.869744 | 20.086834 | 0.7053 | 0.3818 | 0.3817 | 3.294269 | 1.960122 |
| 2459841 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 10.363779 | 29.568015 | 16.484832 | 35.972389 | 84.496382 | 61.132103 | 96.812284 | 15.614050 | 0.0287 | 0.0301 | 0.0012 | nan | nan |
| 2459840 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | 1.805548 | 2.971842 | -0.150358 | 0.033514 | 0.980433 | 1.310628 | 0.598599 | 0.781683 | 0.0255 | 0.0236 | 0.0016 | nan | nan |
| 2459839 | RF_maintenance | 100.00% | - | - | - | - | - | -0.545959 | 0.375191 | -1.131517 | 0.042658 | 2.202290 | 5.517818 | 0.609650 | 1.838857 | nan | nan | nan | nan | nan |
| 2459838 | RF_maintenance | 100.00% | 0.00% | 60.70% | 0.00% | 100.00% | 0.00% | 13.436745 | 21.851424 | 3.437987 | 1.533152 | 4.193001 | 16.879784 | 8.716156 | 26.943422 | 0.6978 | 0.4214 | 0.4977 | 3.930908 | 2.192981 |
| 2459836 | RF_maintenance | - | 100.00% | 100.00% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.0378 | 0.0421 | 0.0011 | nan | nan |
| 2459835 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | -0.309809 | -0.787098 | 5.313627 | 0.553619 | 24.787145 | 8.397554 | 94.512990 | 6.441134 | 0.0365 | 0.0423 | 0.0007 | nan | nan |
| 2459833 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | - | - | 1.765722 | 5.856762 | 6.309320 | 14.331317 | 100.457165 | 24.639158 | 206.813840 | 21.133938 | 0.0396 | 0.0376 | 0.0041 | nan | nan |
| 2459832 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 8.108660 | 13.218214 | 2.559381 | 1.257628 | 1.172385 | 3.640456 | 11.594903 | 30.339676 | 0.7980 | 0.3101 | 0.6437 | 3.022426 | 1.789396 |
| 2459831 | RF_maintenance | 0.00% | 100.00% | 100.00% | 0.00% | - | - | -0.518282 | 0.006008 | -0.848202 | 0.132247 | -0.397041 | 0.466315 | -0.058032 | 0.722375 | 0.0419 | 0.0427 | 0.0082 | nan | nan |
| 2459830 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 9.638172 | 13.641496 | 3.487206 | 0.800518 | 5.840406 | 5.574747 | 21.135157 | 64.475936 | 0.7775 | 0.2734 | 0.6461 | 4.082016 | 2.322768 |
| 2459829 | RF_maintenance | 100.00% | 0.00% | 81.10% | 0.00% | 100.00% | 0.00% | 22.742231 | 29.693569 | 0.473306 | 0.328919 | 25.893616 | 9.521046 | 167.485811 | 109.975523 | 0.6648 | 0.3612 | 0.4836 | 9.904555 | 6.866045 |
| 2459828 | RF_maintenance | 100.00% | 0.00% | 100.00% | 0.00% | 100.00% | 0.00% | 11.625579 | 14.176884 | 0.004151 | 0.414713 | 21.705207 | 7.995045 | 480.738480 | 206.359302 | 0.7426 | 0.2760 | 0.5977 | 3.174876 | 2.112981 |
| 2459827 | RF_maintenance | 100.00% | 0.00% | 77.34% | 0.00% | 100.00% | 0.00% | 14.462115 | 19.809800 | 3.930931 | 1.942675 | 13.197068 | 4.610684 | 43.295764 | 30.264893 | 0.6992 | 0.3871 | 0.5029 | 6.048054 | 2.824674 |
| 2459826 | RF_maintenance | 100.00% | 0.00% | 91.94% | 0.00% | 100.00% | 0.00% | 6.680568 | 9.935981 | 4.089961 | 0.928596 | 7.316633 | 6.989249 | 21.244985 | 83.339514 | 0.7740 | 0.3150 | 0.6032 | 6.762484 | 3.241140 |
| 2459825 | RF_maintenance | 100.00% | 0.00% | 89.25% | 0.00% | 100.00% | 0.00% | 6.446717 | 9.382789 | 2.426497 | 1.280581 | 9.020827 | 11.221952 | 6.410913 | 11.302561 | 0.7735 | 0.3335 | 0.5992 | 2.767324 | 1.386111 |
| 2459824 | RF_maintenance | 100.00% | 0.00% | 60.12% | 0.00% | 100.00% | 0.00% | 14.673664 | 20.273272 | 3.665142 | 2.850624 | 4.772955 | 6.529556 | 20.610743 | 41.222890 | 0.6471 | 0.4359 | 0.4681 | 4.325821 | 2.523432 |
| 2459823 | RF_maintenance | 100.00% | 0.00% | 68.24% | 0.00% | 100.00% | 0.00% | 3.916172 | 3.218134 | 3.017163 | 0.059536 | 3.105287 | 6.898303 | 25.251734 | 103.994909 | 0.7127 | 0.3601 | 0.5461 | 7.414097 | 3.810002 |
| 2459822 | RF_maintenance | 100.00% | 0.00% | 81.18% | 0.00% | 100.00% | 0.00% | 5.889825 | 8.184575 | 3.083503 | -0.084120 | 3.946958 | 5.209558 | 14.499218 | 17.283978 | 0.7688 | 0.3488 | 0.5944 | 4.379020 | 2.341813 |
| 2459821 | RF_maintenance | 100.00% | 0.00% | 75.81% | 0.00% | 100.00% | 0.00% | 6.139613 | 6.771156 | 2.846508 | -0.091011 | 3.271380 | 3.979864 | 4.568552 | 7.828113 | 0.7644 | 0.3745 | 0.5958 | 4.134880 | 2.189808 |
| 2459820 | RF_maintenance | 100.00% | 0.00% | 75.19% | 0.00% | 100.00% | 0.00% | 20.784237 | 28.283176 | 1.296932 | 0.731360 | 45.989728 | 28.984752 | 110.268599 | 82.505629 | 0.6996 | 0.4068 | 0.4777 | 3.331394 | 2.401353 |
| 2459817 | RF_maintenance | 100.00% | 0.00% | 56.99% | 0.00% | 100.00% | 0.00% | 5.599593 | 6.049511 | 2.083318 | -0.454057 | 4.552559 | 5.295478 | 24.432511 | 19.167584 | 0.7908 | 0.4696 | 0.5740 | 3.242825 | 1.772746 |
| 2459816 | RF_maintenance | 100.00% | 0.00% | 84.91% | 0.00% | 100.00% | 0.00% | 6.627433 | 8.827936 | 3.946398 | 1.177094 | 5.967196 | 9.575842 | 19.697602 | 70.502166 | 0.8294 | 0.3878 | 0.6408 | 3.341424 | 2.068560 |
| 2459815 | RF_maintenance | 100.00% | 0.00% | 54.30% | 0.00% | 100.00% | 0.00% | 4.518201 | 4.123712 | 2.962983 | -0.560859 | 5.668644 | 5.881605 | 19.700082 | 65.160655 | 0.7878 | 0.4815 | 0.5879 | 3.759527 | 2.121328 |
| 2459814 | RF_maintenance | 0.00% | - | - | - | - | - | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459813 | RF_maintenance | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 54.809688 | 10.578005 | 23.080792 | 0.791401 | 0.915113 | 5.028532 | 8.531230 | 31.178508 | 54.809688 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 49.891176 | 7.478493 | 21.433128 | 1.789509 | 1.432369 | 3.035352 | 7.019081 | 32.552572 | 49.891176 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 29.660138 | 1.371005 | 14.688202 | 0.988351 | 0.883166 | 0.924374 | 5.363576 | 14.130820 | 29.660138 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 22.162460 | 20.876933 | 1.669912 | 1.427129 | 1.059419 | 11.882907 | 1.005072 | 22.162460 | 10.197905 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 21.231068 | -0.056444 | 15.959453 | 1.422859 | 1.946354 | -0.706229 | 6.486690 | 0.695315 | 21.231068 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 53.290892 | 19.672245 | 4.243763 | -0.465174 | -0.718630 | 4.761214 | 1.139414 | 53.290892 | 37.606100 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 22.029105 | 0.984326 | 11.998026 | -0.023818 | -0.200945 | -0.122999 | 2.620561 | 7.460164 | 22.029105 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 16.314763 | 10.069289 | 0.914741 | 0.162439 | -0.021302 | 0.149411 | 0.699264 | 16.314763 | 10.657612 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 19.095380 | 7.101965 | 11.439433 | -1.003580 | -0.334512 | 2.845860 | 7.274006 | 9.510489 | 19.095380 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 22.387269 | 8.389804 | 11.215568 | -0.076575 | 0.154726 | 0.603376 | 0.515980 | 10.692081 | 22.387269 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 31.051255 | 10.948475 | 4.321906 | 0.094799 | -0.070751 | 2.623595 | 0.805586 | 31.051255 | 15.259946 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 147.405426 | 9.467933 | 2.492056 | -0.026411 | -3.430190 | 29.438809 | 61.342570 | 14.567720 | 147.405426 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 51.942130 | 12.869317 | 28.045663 | -0.797628 | 0.185471 | 2.445449 | 13.218331 | 23.104804 | 51.942130 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Shape | 22.764021 | 22.764021 | 8.868832 | -0.231958 | -1.192611 | 5.074558 | 0.610645 | 22.680657 | 12.297952 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 37.337049 | 25.308311 | 18.321301 | 0.408461 | -0.074951 | 6.575292 | 1.571384 | 37.337049 | 19.776085 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 33.692883 | 14.956536 | 6.719894 | 0.502812 | 0.052819 | 6.282299 | 1.330838 | 33.692883 | 19.512962 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Shape | 27.761009 | 9.831353 | 27.761009 | 0.351709 | 1.040571 | 6.676137 | 13.569214 | 3.294425 | 6.368744 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 33.952059 | 12.719930 | 16.712612 | 0.451648 | 0.746529 | 4.664361 | 15.997594 | 19.855457 | 33.952059 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 54.994483 | 10.361661 | 15.911168 | 0.172573 | 0.353681 | 2.196939 | 7.023161 | 24.833086 | 54.994483 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 72.062356 | 15.425204 | 21.408308 | 0.449450 | 1.469773 | 15.831294 | 13.209777 | 72.062356 | 66.434886 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 43.756747 | 23.737385 | 18.366203 | 1.540243 | -0.432655 | 13.908879 | 5.323227 | 43.756747 | 22.518693 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Shape | 13.336821 | 13.336821 | 7.028938 | 1.223427 | -0.628163 | 6.772338 | 0.415979 | 10.489391 | 5.896121 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 27.627576 | 2.998846 | 9.426321 | -0.172019 | 0.031654 | 1.067242 | 2.967116 | 7.464999 | 27.627576 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 59.550873 | 33.565416 | 23.374829 | 2.079115 | 0.764767 | 22.021563 | 19.094028 | 59.550873 | 55.416035 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 221.214154 | 6.050841 | 23.824174 | 18.078668 | 48.431849 | 119.480757 | 35.111629 | 221.214154 | 24.406184 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 67.387261 | 28.232469 | 20.388488 | 0.565737 | -0.393530 | 20.859352 | 11.633242 | 43.296523 | 67.387261 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 38.869744 | 9.231627 | 11.506753 | -0.337983 | 0.106107 | 8.040933 | 3.431094 | 38.869744 | 20.086834 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 96.812284 | 10.363779 | 29.568015 | 16.484832 | 35.972389 | 84.496382 | 61.132103 | 96.812284 | 15.614050 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Shape | 2.971842 | 1.805548 | 2.971842 | -0.150358 | 0.033514 | 0.980433 | 1.310628 | 0.598599 | 0.781683 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Variability | 5.517818 | 0.375191 | -0.545959 | 0.042658 | -1.131517 | 5.517818 | 2.202290 | 1.838857 | 0.609650 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 26.943422 | 21.851424 | 13.436745 | 1.533152 | 3.437987 | 16.879784 | 4.193001 | 26.943422 | 8.716156 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 94.512990 | -0.787098 | -0.309809 | 0.553619 | 5.313627 | 8.397554 | 24.787145 | 6.441134 | 94.512990 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 206.813840 | 5.856762 | 1.765722 | 14.331317 | 6.309320 | 24.639158 | 100.457165 | 21.133938 | 206.813840 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 30.339676 | 8.108660 | 13.218214 | 2.559381 | 1.257628 | 1.172385 | 3.640456 | 11.594903 | 30.339676 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 0.722375 | -0.518282 | 0.006008 | -0.848202 | 0.132247 | -0.397041 | 0.466315 | -0.058032 | 0.722375 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 64.475936 | 9.638172 | 13.641496 | 3.487206 | 0.800518 | 5.840406 | 5.574747 | 21.135157 | 64.475936 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 167.485811 | 29.693569 | 22.742231 | 0.328919 | 0.473306 | 9.521046 | 25.893616 | 109.975523 | 167.485811 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 480.738480 | 14.176884 | 11.625579 | 0.414713 | 0.004151 | 7.995045 | 21.705207 | 206.359302 | 480.738480 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 43.295764 | 14.462115 | 19.809800 | 3.930931 | 1.942675 | 13.197068 | 4.610684 | 43.295764 | 30.264893 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 83.339514 | 9.935981 | 6.680568 | 0.928596 | 4.089961 | 6.989249 | 7.316633 | 83.339514 | 21.244985 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 11.302561 | 9.382789 | 6.446717 | 1.280581 | 2.426497 | 11.221952 | 9.020827 | 11.302561 | 6.410913 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 41.222890 | 14.673664 | 20.273272 | 3.665142 | 2.850624 | 4.772955 | 6.529556 | 20.610743 | 41.222890 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 103.994909 | 3.218134 | 3.916172 | 0.059536 | 3.017163 | 6.898303 | 3.105287 | 103.994909 | 25.251734 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 17.283978 | 5.889825 | 8.184575 | 3.083503 | -0.084120 | 3.946958 | 5.209558 | 14.499218 | 17.283978 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 7.828113 | 6.771156 | 6.139613 | -0.091011 | 2.846508 | 3.979864 | 3.271380 | 7.828113 | 4.568552 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 110.268599 | 20.784237 | 28.283176 | 1.296932 | 0.731360 | 45.989728 | 28.984752 | 110.268599 | 82.505629 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | ee Temporal Discontinuties | 24.432511 | 5.599593 | 6.049511 | 2.083318 | -0.454057 | 4.552559 | 5.295478 | 24.432511 | 19.167584 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 70.502166 | 8.827936 | 6.627433 | 1.177094 | 3.946398 | 9.575842 | 5.967196 | 70.502166 | 19.697602 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Temporal Discontinuties | 65.160655 | 4.123712 | 4.518201 | -0.560859 | 2.962983 | 5.881605 | 5.668644 | 65.160655 | 19.700082 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 18 | N01 | RF_maintenance | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |